Samba: A State Space Model-based Semantic Segmentation Framework for High-Resolution Remotely Sensed Images

Samba, a novel semantic segmentation framework built on the Mamba architecture, effectively captures global semantic information in high-resolution remotely sensed images with low computational complexity, outperforming state-of-the-art CNN and ViT-based methods.